Autonomous Agriculture Robots and AI – Markets, Applications, and Competition, 2021-2030

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Coverage
Market Overview
Key Questions
Companies
Sample
Pricing

Autonomous Agriculture Robots and AI – Markets, Applications, and Competition, 2021-2030

Future of AI powered autonomous precision farming using agriculture robots; RaaS vs equipment sales; driverless tractors; computer vision image recognition robots; harvesting, weeding, spraying, and pruning robots, robotic implements

Published: 02 Jun 2021

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Key Highlights

This 150+ pages research report talks about autonomous agriculture robots and equipment (ground and drones) for precision farming application –

Market penetration of AI powered autonomous technology
Semi-automated to driverless tractors sales and market forecast
Accumulated fleet size of agricultural robots
Annual agriculture robots sales and forecast across applications
Total addressable market till 2030
Robot-as-a-Service (RaaS) market and forecast
Pricing model and trends adopted by leading agriculture robots companies
Ultra-precision farming technology progression
Market penetration of Machine learning and AI computer vision
Capital Investment analysis in agriculture robotics
Strategic partnerships and developments

Exhaustive Coverage

This report focuses on agriculture robots and artificial intelligence for autonomous farming. The report analyses the different types of autonomous unmanned robots that are currently being developed or tested on the fields. These robots are driverless tractors, crop harvesting robots, fresh fruit harvesting robots, plant, and soil health data collection & monitoring robots, sowing or planting robots, spraying robots, weeding robots, autonomous multipurpose small robots, pruning robots, and robotic implements among others.

Types of Agriculture Robots covered in the report

The report also focuses on the key enabling technologies for autonomous unmanned functionalities of these robots which includes vision technologies of radar, camera, LiDAR, and artificial intelligence or machine learning systems.

Perception Technologies in Agriculture Robots Industry

The report analyses the trends and technology readiness by agriculture activity across all the major agricultural markets globally by studying some of the recent case studies for the above-mentioned agriculture robots and enabling technologies along with their sensing systems.

Market Overview

The total autonomous tractors and precision agriculture robot market is at a very nascent stage and is worth $XX billion in 2021. Our estimates show the total market is expected to exponential growth to $XX billion by 2030, with compounded annual growth rate of 60% or more.

As the market is at its early stage, the industry has two distinct views about the best business model for commercializing farming robots. One is the traditional sales approach of the autonomous agriculture equipment or robot, and the other approach is of service model also called as Robot-as-a-Service (RaaS).

Our analysis based on industry sentiments especially from the new agriculture robotic companies is that the RaaS is more suitable way when it comes to early-stage commercialization of the technology. This is because of two major reasons, first is trust deficit from the users or farmers adopting such newer autonomous equipment, while the other is the question of extremely expensive machine cost. However, in case of ag robot that are cheaper (for e.g., $20,000) and smaller this case doesn’t stand much chance.

RaaS Market - Agriculture Robots and AI Industry

Our estimates show that the market dynamics will change with higher demand as the industry matures, pricing structure is more affordable, and trust issues are addressed. The most important fact is that the scalability of RaaS solution is currently very narrow due to physical equipment at work, unlike SaaS. This is also clear from the new age robotic companies entering the agriculture market are more likely adopting the RaaS model.

This report gives a side-by-side comparison of both these business models, their addressable market, sales demand, and pricing models. Few of the sample graphs are depicted below.

The report also analyzes all the companies, from robotic startups, service providers, agriculture equipment and vehicle manufacturers, to software & stack providers.

The report also focuses on the component level analysis of autonomous robot and equipment. The market size and sales volumes of all the major perception technologies are covered in this research study. A snapshot of the sample figures is provided below.

Geographic Market Penetration and RaaS Market, Agriculture Robots and AI Market

Please download the sample pages for more information on this report. The report has analyzed more than 60 companies across the agriculture robots industry.

Key Questions Answered

What is the historic and current market penetration of automation in agriculture? And how it is expected to change in mid-term and long-term?
How is the trend for fully autonomous agriculture equipment sales vs autonomous robots-as-a-service (RaaS) business models expected to unfold in the coming 5-10 years?
How is the technology and market progressing with respect to levels of automation in tractors — from manned to guidance systems to auto steer to master-slave to ultimately autonomous or driverless tractor?
Is the autonomous technology for agriculture ready for the big farming transformation?
What are the different stages and processes in the market and technology readiness of autonomous robots in agriculture automation?
Where and at what levels of technological advancements has players in the ecosystem have achieved?
What is the total estimated market and forecast for autonomous tractors; autonomous robots including small robots, precision harvesting robots, precision weeding robots, precision spraying robots; data collection and automated robotic implements?
What is the accumulated fleet size and annual sales of autonomous precision robots for harvesting, weeding, spraying, and planting?
What is the total addressable market for computer vision systems, cameras, radars, LiDARs, artificial intelligence or machine learning hardware & software, and SoCs?
What are the total capital investments in the agriculture automation in recent years and what are the expected and planned budgets by leading players?